{"id":"W3015530857","doi":"10.3390/su12072936","title":"Living under a Fluctuating Climate and a Drying Congo Basin","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktoratet for Utviklingssamarbeid; Consortium of International Agricultural Research Centers; Department for International Development; International Development Research Centre","keywords":"Deforestation (computer science); Livelihood; Structural basin; Climate change; Biodiversity; Geography; Environmental degradation; Water cycle; Agroforestry; Environmental science; Environmental protection; Ecology; Agriculture; Geology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003618809,0.000173822,0.0001428086,0.0003923018,0.001521203,0.001329765,0.0002397207,0.0003583757,0.001170522],"category_scores_gemma":[0.0009797007,0.00008505969,0.0001315239,0.000769657,0.001000404,0.0006758142,0.0005443211,0.0003247171,0.00005472678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174759,"about_ca_system_score_gemma":0.000873388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06427158,"about_ca_topic_score_gemma":0.1239563,"domain_scores_codex":[0.9996756,0.0001913515,0.00001260867,0.00003752668,0.00001599728,0.00006695821],"domain_scores_gemma":[0.9997422,0.00008992021,0.00007031354,0.00002242235,0.00002345105,0.00005160985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000357967,0.0005472862,0.8510771,0.0004025403,0.000201233,0.0231906,0.01653642,0.03207256,0.01611997,0.0212051,0.002147185,0.03614198],"study_design_scores_gemma":[0.00005568114,0.000373877,0.8729344,0.0003072078,0.0001412627,0.004561092,0.07826446,0.01712138,0.003987811,0.003931067,0.01821335,0.0001084822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958075,0.0001536892,0.0002822421,0.0002455698,0.000003255466,0.00001931145,0.0001186891,0.000004626897,0.003365152],"genre_scores_gemma":[0.9993848,0.0001213653,0.0002560304,0.00002312692,0.000001279658,0.00001012436,0.00003256542,9.893939e-7,0.0001697438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06427158,"threshold_uncertainty_score":0.1277949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009959160672949748,"score_gpt":0.2325871622730036,"score_spread":0.2226280016000538,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}